How did I get here? I will talk about how my father's serendipitous acceptance of a six-week teaching assistantship at the University of Colorado lead to lead to my growing up in Boulder, Colorado, and how early immersion in an environment full of music,...

In an agent-based simulation (ABS), a state update scheme carries out the transitions of agents from one state to the next. To produce correct simulation results, the update scheme must respect the cause-and-effect relationships defined by the agent-...

Simulation-based optimization using agent-based models is typically carried out under the assumption that the gradient describing the sensitivity of the simulation output to the input cannot be evaluated directly. To still apply gradient-based ...

Dead reckoning (DR) is a key technique to increase scalability in Distributed Virtual Environments (DVE). Replacing data transmission with prediction, DR relies on its prediction capability to reduce the bandwidth consumption in the cost of ...

Interest management is a filtering technique to reduce communication in simulation. It involves a process called "interest matching" to identify intersections between two sets of d-dimensional axis-parallel rectangles. Because of frequent demands in ...

With the increasing popularity of Digital Twin, there is an opportunity to employ deep learning models in symbiotic simulation system. Symbiotic simulation can replicate multiple what-if simulation instances from its real-time reference simulation (base ...

Currently, synchronous timestepping for fluid and plasma simulations requires selection of a global time step that conservatively satisfies stability conditions everywhere. However, this approach causes substantial unnecessary work in the presence of ...

Discrete models such as cellular automata may be ported from one platform or language onto another to improve performances, for instance by rewriting legacy Matlab code into C++ or adding optimizations into a Python implementation. Although such ...

An intelligent combination of the Internet of Things (IoT) and approaches to modeling and simulation is one of the most challenging endeavors for future cities, manufacturing industries, and predictive maintenance. Digital Twins take on a unique role ...

Searching for targets from a group of Unmanned Aerial Vehicles (UAVs) is a complex problem, whose applications range from the localization of military targets to search and rescue missions. Determining the best locations to search within the mission ...

Performance and scalability of Parallel Discrete Event Simulation (PDES) is often limited by fine-grain communication, especially in execution environments with high communication cost. Low latencies of on-chip communication in emerging manycore ...

The growing adoption of Fog computing for the sensitive-time IoT applications allows to facilitate the real-time actions and to enhance their efficiency and performance. In fact, keeping the data in the distributed Fog network brings the advantages and ...

Traditional Parallel Discrete Event Simulation (PDES) systems employ a monolithic approach for choosing their thread synchronization protocol. They either implement a Time Window-based conservative synchronization or an optimistic event processing ...

A model of bystanders' effect on volunteering (in case of an observed crime or critical situation) is extended to incorporate the possibility of a sense of guilt (after nonintervention). Based on sound theoretical and experimental foundations, an ...

Healthcare is the largest industry in the United States and in most of the developed world. This fact has not escaped recognition by the modeling and simulation community. During the past 15 years the number and variety of simulations and simulators ...

Welcome to the 2021 edition of ACM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS).

SIGSIM-PADS is the flagship conference for ACM's Special Interest Group on Simulation and Modeling (SIGSIM) with a broad scope in cutting-edge ...